Imagine you want to see what InterSystems can give you in terms of data analytics. You studied the theory and now you want some practice. Fortunately, InterSystems provides a project that contains some good examples: Samples BI. Start with the README file, skipping anything associated with Docker, and go straight to the step-by-step installation. Launch a virtual instance, install IRIS there, follow the instructions for installing Samples BI, and then impress the boss with beautiful charts and tables. So far so good.

Inevitably, though, you’ll need to make changes.

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Last week saw the launch of the InterSystems IRIS Data Platform in sunny California.

For the engaging eXPerience Labs (XP-Labs) training sessions, my first customer and favourite department (Learning Services), was working hard assisting and supporting us all behind the scene.

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Article
· Apr 26, 2021 3m read
SSH for IRIS container

Why SSH ?

If you do not have direct access to the server that runs your IRIS Docker container
you still may require access to the container outside "iris session" or "WebTerminal".
With an SSH terminal (PuTTY, KiTTY,.. ) you get access inside Docker, and then, depending
on your needs you run "iris session iris" or display/manipulate files directly.

Note:
This is not meant to be the default access for the average application user
but the emergency backdoor for System Management, Support, and Development.

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In an earlier article (hope, you’ve read it), we took a look at the CircleCI deployment system, which integrates perfectly with GitHub. Why then would we want to look any further? Well, GitHub has its own CI/CD platform called GitHub Actions, which is worth exploring. With GitHub Actions, you don’t need to rely on some external, albeit cool, service.

In this article we’re going to try using GitHub Actions to deploy the server part of InterSystems Package Manager, ZPM-registry, on Google Kubernetes Engine (GKE).

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The last time that I created a playground for experimenting with machine learning using Apache Spark and an InterSystems data platform, see Machine Learning with Spark and Caché, I installed and configured everything directly on my laptop: Caché, Python, Apache Spark, Java, some Hadoop libraries, to name a few. It required some effort, but eventually it worked.

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Most of us are more or less familiar with Docker. Those who use it like it for the way it lets us easily deploy almost any application, play with it, break something and then restore the application with a simple restart of the Docker container.

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The InterSystems Iris Fhirserver running on a Raspberry Pi Raspberry running as a FHIRserver

Raspberry running as FHIRserver

About a year ago I wrote some articles about the installation of the HAPI FHIRserver on a Raspberry Pi. At that time, I only knew the basics of the FHIR standard, little about the technology behind FHIR-servers and not much more about the Raspberry. By trying, failing, giving up and trying again I learned a lot.

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Just curious how many companies use in their work Docker containers, I mean not only with InterSystems products. And if such companies exist, which of them uses docker and doesn't use it for InterSystems products by some reasons. What are the reasons? For companies which already uses InterSystems in containers, how do you use it? Development environment, testing or even in production ?

And if you don't use but thought about it, what are the reasons which stop you.

As for me, I've been using InterSystems Caché inside a Docker container in some different cases:

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Hi Developers!

InterSystems Package Manager (ZPM) is a great thing, but it is even better if you don't need to install it but can use immediately.

There are several ways how to do this and here is one approach of having IRIS container with ZPM built with dockerfile.

I've prepared a repository which has a few lines in dockerfile which perform the download and install the latest version of ZPM.

Add these lines to your standard dockerfile for IRIS community edition and you will have ZPM installed and ready to use.

To download the latest ZPM client:

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AWS has officially released their second-generation Arm-based Graviton2 processors and associated Amazon EC2 M6g instance type, which boasts up to 40% better price performance over current generation Intel Xeon based M5 instances.

A few months ago, InterSystems participated in the M6g preview program, and we ran a few benchmarks with InterSystems IRIS that showed compelling results. This led us to support ARM64 architectures for the first time.

Now you can try InterSystems IRIS and InterSystems IRIS for Health on Graviton2-based Amazon EC2 M6g instances for yourselves through the AWS Marketplace!

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Article
· Aug 4, 2021 3m read
IRIS Mirror in the cloud (AWS)

I have been working on redesigning a Health Connect production which runs on a mirrored instance of Healthshare 2019. We were told to take advantage of containers. We got to work on IRIS 2020.1 and split the database part from the Interoperability part. We had the IRIS mirror running on EC2 instances and used containers to run IRIS interoperability application. Eventually we decided to run the data tier in containers as well.

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Hi Developers,

The new video from Global summit 2019 is already on InterSystems Developers YouTube:

⏯ Intersystems IRIS Kubernetes Operator

https://www.youtube.com/embed/PvlDp6xLQ5U
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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I would say it is a post of pain after years of using InterrSystems IRIS Docker images in many projects.

And I hope InterSystems will hear me and do something with it.

We have a lot of issues with Docker images, but I see no progress in solving them.

  • containers.intersystems.com - any new releases substitute previous versions, makes build useless
    • ARM64 images have separate names, and it makes a pain to use them
  • flags in iris-main, appears and disappears from version to version, which may fail the start the container
  • healthcheck does not work as expected

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Hi Community,

In my previous article, we learned topics listed below:

  1. What is Docker?
  2. Some of the Docker benefits
  3. How does Docker work?
  4. Docker Image
  5. Docker Container
  6. Docker Image repository
  7. InterSystems's Docker image repository
  8. Docker Installation
  9. Docker Basic Commands
  10. Running IRIS community edition by using Docker
  11. Docker Desktop GUI

In this article, we will cover the following topics:

  1. Use of Docker Compose file (a YAML file)
  2. Use of Docker file (employed to build a Docker image)
  3. Use of Docker volume

So let's begin.

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Hi Developers!

Those who use Dockerfile to work with InterSystems IRIS often need to execute several lines of ObjectScript. For me, this was a game of "escaping this and that" every time just to shoot a few commands on ObjectScript to IRIS. Ideally, I'd prefer to code ObjectScript without any quotes and escaping.

Recently I found a nice "hack" on how this could be improved to exactly this state. I got this from @Dmitry Maslennikov's repo and this lets you use Objectscript in a way as you would type it in IRIS terminal.

Here is what you have in dockerfile:

///
COPY irissession.sh /
SHELL ["/irissession.sh"]
RUN \
  do $SYSTEM.OBJ.Load("Installer.cls", "ck") \
  set sc = ##class(App.Installer).setup()
# bringing the standard shell back
SHELL ["/bin/bash", "-c"]
CMD [ "-l", "/usr/irissys/mgr/messages.log" ]
///

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This is a continuation of my story about the development of my project isc-tar started in the first part.

Just having tests is not enough, it does not mean that you will run tests after all changes. Running tests should be automated, and when you cover all your functionality with tests, everything should work well after any change in any place. And Continuous Integration (CI) helps to keep the code and deployment procedure with as fewer bugs as possible and automates the routine procedures, like publishing releases.

I use GitHub to store the source code. And some time ago GitHub started to work on its own CI/CD platform and named it GitHub Actions. It is not widely available, yet. You have to be signed as a beta tester for this feature, as I did. GitHub Actions uses quite a different way how to deal with a build workflow. What is important that Github Actions allows to use Docker, and it’s quite easy to customize available actions. And interesting that GitHub Actions is really much bigger than any classic CI like we have in Travis, Circle or Gitlab CI and so on. You can find more in the official documentation.

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